On the extended log-rank estimating function for the censored regression model Journal Article
| Authors: | Hummer, A.; Yang, S. |
| Article Title: | On the extended log-rank estimating function for the censored regression model |
| Abstract: | For the censored regression model, Yang (J. Amer. Statist. Assoc. 92 (1997) 977-984) introduced a new class of estimating functions. These estimating functions produce regression estimators that are asymptotically normal with a density-free asymptotic variance that is simple to estimate reliably. In this paper we further study the estimation function of Yang by considering new classes of weights. Through extensive numerical studies, we find weights that enhance the results of the estimating function and improve upon choices previously recommended by Yang. © 2001 Elsevier Science B.V. All rights reserved. |
| Keywords: | survival analysis; regression analysis; estimation; functions; accelerated life regression model; censoring; covariance estimation; weighted log-rank estimating functions; asymptotic stability; censored regression models |
| Journal Title: | Computational Statistics and Data Analysis |
| Volume: | 37 |
| Issue: | 2 |
| ISSN: | 0167-9473 |
| Publisher: | Elsevier B.V. |
| Date Published: | 2001-08-28 |
| Start Page: | 171 |
| End Page: | 180 |
| Language: | English |
| DOI: | 10.1016/s0167-9473(00)00069-4 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Export Date: 21 May 2015 -- Source: Scopus |
